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Torch Compile - New Op Support (#23310)
New op support for: - torch.export updates - benchmarking model support - chatglm2 support --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: ynimmaga <yamini.nimmagadda@intel.com> Co-authored-by: Maxim Vafin <maxim.vafin@intel.com> Co-authored-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,38 @@ | ||
| // Copyright (C) 2018-2023 Intel Corporation | ||
| // SPDX-License-Identifier: Apache-2.0 | ||
| // | ||
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| #include "openvino/frontend/pytorch/node_context.hpp" | ||
| #include "openvino/op/constant.hpp" | ||
| #include "openvino/op/not_equal.hpp" | ||
| #include "openvino/op/range.hpp" | ||
| #include "openvino/op/reduce_logical_or.hpp" | ||
| #include "openvino/op/reshape.hpp" | ||
| #include "utils.hpp" | ||
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| namespace ov { | ||
| namespace frontend { | ||
| namespace pytorch { | ||
| namespace op { | ||
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| OutputVector translate_any_fx(const NodeContext& context) { | ||
| num_inputs_check(context, 1, 3); | ||
| auto x = context.get_input(0); | ||
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| Output<Node> dims; | ||
| if (!context.input_is_none(1)) { | ||
| dims = context.get_input(1); | ||
| } else { | ||
| dims = get_axes_range(context, 0); | ||
| } | ||
| bool keep_dims = false; | ||
| if (!context.input_is_none(2)) | ||
| keep_dims = context.const_input<bool>(2); | ||
| auto any = context.mark_node(std::make_shared<ov::op::v1::ReduceLogicalOr>(x, dims, keep_dims)); | ||
| return {any}; | ||
| }; | ||
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| } // namespace op | ||
| } // namespace pytorch | ||
| } // namespace frontend | ||
| } // namespace ov |
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